Machine Learning Engineer, Search

As a Machine Learning Engineer on the Search team, you will play a crucial role in developing and deploying cutting-edge machine learning models that power Google Search for billions of users worldwide. You will work on challenging problems related to information retrieval, ranking, natural language understanding, and recommendation systems. **Responsibilities:** * Design, implement, and evaluate large-scale machine learning systems for Search. * Collaborate with researchers and engineers to translate novel research into production-ready solutions. * Optimize model performance and efficiency for massive datasets and real-time serving. * Develop metrics and frameworks to measure the impact and quality of ML models. * Stay up-to-date with the latest advancements in ML and apply them to Search challenges. **Minimum Qualifications:** * Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. * 3 years of experience in software development, with a focus on machine learning. * Proficiency in at least one object-oriented programming language (e.g., Python, C++). * Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, JAX). **Preferred Qualifications:** * Master's or PhD in Computer Science, Machine Learning, or a related field. * Experience with large-scale distributed systems and data processing. * Strong understanding of information retrieval, NLP, or recommender systems. * Publications in top-tier ML conferences. Google offers competitive salaries, comprehensive benefits, and opportunities for professional growth in a dynamic and innovative environment.